arrow
返回

An efficient low-delay polyphase implementation method for active noise control systems

delete2025-01-01
delete0
PRE
AI
Y
Yongjie Zhuang
Y
Yangfan Liu *
DOI:10.1016/j.apacoust.2024.110232delete
delete原文链接
delete分享
delete收藏
摘要

摘要

En 中文
When implementing active noise control systems on signal processing hardware, the time delay introduced by electronic components (especially components requiring additional lowpass filters or introducing fixed-sample- size delays) may adversely affect the noise control performance. One common approach to reducing this delay is to use a high sampling rate, but this increases the computation significantly when implementing the ANC filters in real time. In the current work, a polyphase-structure-based filter design method is developed for active noise control systems that can reduce the computation load for real-time filter implementation but do not introduce an additional time delay. Although the computation reduction capability of a polyphase filter structure is well known for multi-rate systems, the traditional use of such multi-rate systems requires additional anti-aliasing and reconstruction filters which introduces an additional time delay. Thus, in delay-sensitive applications, such as active noise control, this method was previously applied only on the filter adaption phase, instead of directly on the real-time filtering process. In this article, a filter decomposition method using the minimum-phase technique is proposed to decompose an ANC filter into two multiplicative causal filters both of which have lowpass frequency response shapes at high frequencies such that the polyphase structure can be applied directly to the two multiplicative causal control filters without introducing additional anti-aliasing and reconstruction filters. Results show that, compared with various traditional low sampling rate implementations, the proposed method can significantly improve the noise control performance. Compared with the non-polyphase high-sampling rate method, the real-time computations that increase with the sampling rate are improved from quadratically to linearly.
Keyword:
Active noise control
Polyphase method
Multi-rate signal processing
Efficient filter implementation
Minimum phase filter
Constrained filter design

期刊

Applied Acoustics 封面图
Applied Acoustics
IF:
3.6
论文数:
7.4K
被引数:
1.8W

机构

Purdue University System 封面图
Purdue University System
学者数:
4.0W
论文数: 3.6W
被引数: 1.1W
引用论文

引用论文

Development of an eHealth Program for Parents of Adolescents With Type 1 Diabetes
err2017-12-20
err0
errOAAI
errRobin Whittemore; Rebekah M. Zincavage; Sarah S. Jaser; Margaret Grey; Julia L. Coleman; David Collett; Roberta Delvy; Bridget Basile Ibrahim; Lisa D. Marceau
err分享
err收藏
Ten questions concerning active noise control in the built environment关于建筑环境主动噪声控制的十个问题
err2021-08-01
err80
errOAAI
errLam, Bhan; Gan, Woon-Seng; Shi, DongYuan; Nishimura, Masaharu; Elliott, Stephen
err分享
err收藏
err分享
err收藏
Robust feedback controller combined with the remote microphone method for broadband active noise control in headrest
err2022-06-01
err17
PREAI
errZhang, Zeqiang; Wu, Ming; Yin, Lan; Gong, Chen; Wang, Jiajie; Zhou, Shuang; Yang, Jun
err分享
err收藏
High thoracic spinal infection following upper gastrointestinal work-up
err2007-11-01
err0
PREAI
errYung Chen; Byung-Jo Kim; Sang-Heon Lee; Serena S. Hu
err分享
err收藏
学者 查看更多内容